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I am a Production AI/ML Engineer with 6+ years of experience deploying machine learning systems and generative AI inference platforms in regulated healthcare environments. I specialize in building scalable, reliable pipelines using Kubernetes, Helm, ArgoCD, and cloud-native tooling, working across GCP and on-premise integrations. I am a collaborative Python developer who designs automated APIs, monitoring pipelines, and reproducible ML workflows, delivering observable, low-latency inference services and retrieval-augmented generation pipelines that support compliant, impactful AI solutions. I enjoy partnering with cross-functional teams to convert data into trusted insights, implement HIPAA-conscious logging and auditing, and drive operational excellence through monitoring, CI/CD, and model governance. My focus is on delivering production-grade ML systems with strong reliability, scalability, and accessibility for healthcare and enterprise use cases.…I am a Production AI/ML Engineer with 6+ years of experience deploying machine learning systems and generative AI inference platforms in regulated healthcare environments. I specialize in building scalable, reliable pipelines using Kubernetes, Helm, ArgoCD, and cloud-native tooling, working across GCP and on-premise integrations. I am a collaborative Python developer who designs automated APIs, monitoring pipelines, and reproducible ML workflows, delivering observable, low-latency inference services and retrieval-augmented generation pipelines that support compliant, impactful AI solutions. I enjoy partnering with cross-functional teams to convert data into trusted insights, implement HIPAA-conscious logging and auditing, and drive operational excellence through monitoring, CI/CD, and model governance. My focus is on delivering production-grade ML systems with strong reliability, scalability, and accessibility for healthcare and enterprise use cases.

Asha Upperla

AI Engineer, Data Scientist, Full Stack Developer, +5

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I am a Production AI/ML Engineer with 6+ years of experience deploying machine learning systems and generative AI inference platforms in regulated healthcare environments. I specialize in building scalable, reliable pipelines using Kubernetes, Helm, ArgoCD, and cloud-native tooling, working across GCP and on-premise integrations. I am a collaborative Python developer who designs automated APIs, monitoring pipelines, and reproducible ML workflows, delivering observable, low-latency inference services and retrieval-augmented generation pipelines that support compliant, impactful AI solutions. I enjoy partnering with cross-functional teams to convert data into trusted insights, implement HIPAA-conscious logging and auditing, and drive operational excellence through monitoring, CI/CD, and model governance. My focus is on delivering production-grade ML systems with strong reliability, scalability, and accessibility for healthcare and enterprise use cases.…I am a Production AI/ML Engineer with 6+ years of experience deploying machine learning systems and generative AI inference platforms in regulated healthcare environments. I specialize in building scalable, reliable pipelines using Kubernetes, Helm, ArgoCD, and cloud-native tooling, working across GCP and on-premise integrations. I am a collaborative Python developer who designs automated APIs, monitoring pipelines, and reproducible ML workflows, delivering observable, low-latency inference services and retrieval-augmented generation pipelines that support compliant, impactful AI solutions. I enjoy partnering with cross-functional teams to convert data into trusted insights, implement HIPAA-conscious logging and auditing, and drive operational excellence through monitoring, CI/CD, and model governance. My focus is on delivering production-grade ML systems with strong reliability, scalability, and accessibility for healthcare and enterprise use cases.

Available to hire

I am a Production AI/ML Engineer with 6+ years of experience deploying machine learning systems and generative AI inference platforms in regulated healthcare environments. I specialize in building scalable, reliable pipelines using Kubernetes, Helm, ArgoCD, and cloud-native tooling, working across GCP and on-premise integrations. I am a collaborative Python developer who designs automated APIs, monitoring pipelines, and reproducible ML workflows, delivering observable, low-latency inference services and retrieval-augmented generation pipelines that support compliant, impactful AI solutions.

I enjoy partnering with cross-functional teams to convert data into trusted insights, implement HIPAA-conscious logging and auditing, and drive operational excellence through monitoring, CI/CD, and model governance. My focus is on delivering production-grade ML systems with strong reliability, scalability, and accessibility for healthcare and enterprise use cases.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Work Experience

Senior Data & Machine Learning Engineer at CVS Health

October 1, 2022 - Present

Led the development of a healthcare fraud and anomaly detection platform using Spark feature pipelines and PyTorch models over 2TB/day claims data; deployed containerized inference microservices on GKE with autoscaling and implemented Helm-based deployments and ArgoCD GitOps for PHI-safe releases, achieving high reliability. Built Python FastAPI inference APIs, implemented data validation, monitoring with Prometheus/Grafana, centralized ELK logs for auditability, and established MLflow experiment tracking and model registry to shorten retraining cycles. Implemented drift detection and retraining triggers to sustain 99.9% uptime and HIPAA-compliant traceability.

Machine Learning Engineer at K-Lens GmbH

March 1, 2021 - August 1, 2021

Trained and deployed U-Net and ResNet-based vision models for high-resolution optical inspection; optimized distributed PyTorch training with mixed precision, reduced training time by 30%, and integrated inference modules into C++/Python pipelines for real-time factory inspection, achieving 3x throughput gains on constrained hardware. Developed automated evaluation scripts and QA tooling to streamline model validation.

Machine Learning Engineer at Bosch Center for Artificial Intelligence

May 1, 2020 - February 1, 2021

Developed segmentation and anomaly detection models achieving 92% benchmark accuracy on industrial sensor data; built data augmentation and preprocessing pipelines to improve generalization; integrated models into automated ML pipelines, enhancing evaluation and deployment readiness. Implemented reproducible experiment configurations and parameter tracking, and performed threshold calibration to reduce false positives.

Machine Learning Researcher at DFKI, Saarland

May 1, 2019 - April 1, 2020

Built NLP clustering and topic modeling pipelines on multilingual corpora (>10M documents) to improve anomaly discovery precision; automated preprocessing/tokenization workflows to reduce dataset preparation time; produced evaluation dashboards to accelerate research iteration.

Software Developer at Nektrix Software Pvt. Ltd.

April 1, 2017 - September 1, 2018

Built backend analytics APIs in Python and Java supporting data-driven applications with 100K+ daily requests; implemented Hadoop ETL workflows reducing nightly report generation time; automated log monitoring and alerting to shorten incident resolution time.

Machine Learning Researcher at DFKI

May 1, 2019 - April 1, 2020

Built NLP clustering and topic modeling pipelines on multilingual corpora exceeding 10M documents, improving anomaly discovery precision by 20%. Automated preprocessing and tokenization workflows, reducing dataset preparation time by 40%. Generated evaluation dashboards accelerating research iteration cycles by 35%.